Paper Info
Title
Bandwidth-Based Adaptive Coding Control Method for Real-Time Multi-View Video Streaming.
Abstract
Real-time multi-view video streaming plays an important role in new interactive and augmented video applications such as telepresence, remote surgery, and entertainment. Multi-view video streaming approaches exploit time and inter-camera domain correlations in video frames for compression, thereby obtaining two benefits: video traffic reduction and video quality maintenance. However, excessive video encoding requires long periods of time for encoding/decoding computation in real-time multi-view video streaming and this process is vulnerable to frame loss, both of which may induce stalling and skipping during video playback at the user node. To address these problems, we propose Adaptive Multi-view Video Streaming (AMVS) system for real-time streaming. AMVS employs a greedy algorithm to adaptively select a prediction structure with low encoding/decoding computation based on the available network bandwidth. AMVS encodes and transmits multi-view video by considering the similarity of the user's request and the efficiency of transmission. Evaluations using Joint Multi-view Video Coding (JMVC) demonstrated that AMVS achieves low encoding/decoding computation and high video quality while satisfying bandwidth limitations.
Year
Venue
Keywords
2017
IEEE Global Communications Conference
Real-time Multi-view Video Streaming,Multiple Users,Bandwidth-aware
Field
DocType
ISSN
Computer science,Multiview Video Coding,Real-time computing,Greedy algorithm,Remote surgery,Bandwidth (signal processing),Decoding methods,Video quality,Encoding (memory),Adaptive coding
Conference
2334-0983
Citations 
PageRank 
References 
1
0.36
0
Authors
3
Name
Order
Citations
PageRank
Takuya Fujihashi13411.65
Yusuke Hirota210.69
takashi watanabe38423.31